000199924 001__ 199924
000199924 005__ 20181203023533.0
000199924 0247_ $$2doi$$a10.3390/s140202052
000199924 022__ $$a1424-8220
000199924 02470 $$2ISI$$a000335887900009
000199924 037__ $$aARTICLE
000199924 245__ $$aTowards Whole Body Fatigue Assessment of Human Movement: A Fatigue-Tracking System Based on Combined sEMG and Accelerometer Signals
000199924 260__ $$aBasel$$bMdpi Ag$$c2014
000199924 269__ $$a2014
000199924 300__ $$a19
000199924 336__ $$aJournal Articles
000199924 520__ $$aThis paper proposes a method to assess the overall fatigue of human body movement. First of all, according to previous research regarding localized muscular fatigue, a linear relation is assumed between the mean frequency and the muscular working time when the muscle is experiencing fatigue. This assumption is verified with a rigorous statistical analysis. Based on this proven linearity, localized muscular fatigue is simplified as a linear model. Furthermore, localized muscular fatigue is considered a dynamic process and, hence, the localized fatigue levels are tracked by updating the parameters with the most current surface electromyogram (sEMG) measurements. Finally, an overall fatigue level is computed by fusing localized muscular fatigue levels. The developed fatigue-tracking system is evaluated with two fatigue experiments (in which 10 male subjects and seven female subjects participated), including holding self-weight (dip start position training) and lifting weight with one arm (arm curl training).
000199924 6531_ $$alocalized muscular fatigue
000199924 6531_ $$afatigue information fusion
000199924 6531_ $$awireless wearable system
000199924 700__ $$aDong, Haiwei$$uUniv Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON K1N 6N5, Canada
000199924 700__ $$aUgalde, Izaskun$$uNYU, Div Engn, Abu Dhabi, U Arab Emirates
000199924 700__ $$aFigueroa, Nadia
000199924 700__ $$aEl Saddik, Abdulmotaleb$$uUniv Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON K1N 6N5, Canada
000199924 773__ $$j14$$k2$$q2052-2070$$tSensors
000199924 909C0 $$0252447$$pIMT$$xU10343
000199924 909CO $$ooai:infoscience.tind.io:199924$$pSTI$$particle
000199924 937__ $$aEPFL-ARTICLE-199924
000199924 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000199924 980__ $$aARTICLE